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Microsoft Applied Scientist II 
Taiwan, Taoyuan City 
41487276

09.10.2025


As a junior

Required Qualifications:

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
    • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ year(s) related experience (e.g., statistics, predictive analytics, research)
    • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
    • OR equivalent experience.
    • OR Doctorate in Computational Linguistics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
  • 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
Responsibilities
Our mission is to reinvent how people read and write in Microsoft 365 and advance the state-of-the-art in language technology within Microsoft and in industry. As an applied scientist, your responsibilities include:
  • Participates in collaborative relationships with relevant product and business groups inside or outside of Microsoft and provides expertise or technology to create business impact.
  • Collaborates with and bridges the gap between researchers and engineers. Brings new technology and approaches into production by applying long-term research efforts to solve immediate product needs.
  • Stays updated with the latest research and trends in NLP and related fields and explore new ideas and opportunities for innovation.
  • With light guidance, own scoped problems and deliver research-backed, data‑driven, scalable solutions.
  • Researches and develops an understanding of tools, technologies, and methods being used in the community that can be utilized to improve product quality, performance, or efficiency.
  • Understands and follows ethics and privacy policies when executing research processes and/or collecting data/information.